Earticle

초록

영어

Wireless Sensor Network (WSN) is a collection of tiny sensor nodes capable of sensing and processing the data. These sensors are used to collect the information from the environment and pass it on to the base station. A WSN is more vulnerable to various attacks. Among the different types of attacks, sinkhole attack is more vulnerable because it leads to a variety of attacks further in the network. Intrusion detection techniques are applied to handle sinkhole attacks. One of effective approach of intrusion detection mechanism is using Swarm Intelligence techniques (SI). Particle Swarm Optimization is one of the important swarm intelligence techniques. This research work enhances the existing Particle Swarm Optimization technique and the proposed technique is tested in a simulated environment for performance. It is observed that the proposed Enhanced Particle Swarm Optimization (EPSO) technique performs better in terms of Detection rate, False Alarm rate, Packet delivery ration, Message drop and Average delay when compared to the existing swarm intelligence techniques namely, Ant Colony Optimization and Particle Swarm Optimization.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Methodology
  3.1 Methodology Overview
  3.2 Network Model and Threat Model Creation
  3.3 Data Collection
  3.4 Detecting Sinkhole attacks using Ant Colony Optimization
  3.5. Detecting Sinkhole Attacks using Particle Swarm Optimization
  3.6 Detecting Sinkhole Attacks using Enhanced Particle Swarm Optimization
 4. Results and Discussion
  4.1. Experimental Setup
  4.2. Performance Evaluation
  4.3 Results
 5. Conclusion and Scope for Future Enhancement
 References

키워드

저자

• G. Keerthana [ Research Scholar, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India ]
• G. Padmavathi [ Professor and Head, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605